Care management is at an inflection point.
Health plans are being asked to move beyond reactive outreach toward models that anticipate need, coordinate care earlier, and support patients continuously over time. At the same moment, member complexity is rising, quality and risk-based pressures are intensifying, and care teams are being asked to do more with finite capacity.
In this ever-evolving environment, simply making workflows faster is no longer enough.
The real challenge facing care management today is not efficiency. It is scale with purpose. Scale that enables proactive care. Scale that preserves trust. Scale that allows care teams to extend their reach without sacrificing quality or connection.
Creating scalability with purpose and maintaining empathy when AI is used is the challenge Sage was designed to solve. You might say Sage is delivering empathy at scale for care management.
Scale With Purpose Requires the Right Foundation
Scale with purpose requires more than better tools. It requires the right foundation and the right combination of solutions to drive meaningful change.
Ellipsis Health didn’t build Sage to simply optimize workflows within care management. Salesforce Agentforce Health creates a platform for continual improvements. The synergy for the solutions is around a broader evolution: care management must move from episodic execution to a more continuous, proactive model that can operate reliably at a population scale.
Today, that alignment becomes tangible.
Sage, Ellipsis Health’s emotionally intelligent, agentic AI care manager, is now available through the Salesforce AppExchange and is tightly integrated with Salesforce Agentforce Health. This is more than a new deployment option for AI. The integrated solutions reflect how care management technology is evolving.
Together, Ellipsis Health and Salesforce are enabling AI that extends care teams with empathy, continuity, and clinical intent. The ease of implementation eliminates friction, complexity, or months-long implementation cycles. With minimal configuration, Sage can begin delivering repeatable assessments and follow-up directly within Salesforce Agentforce Health, allowing health plans to realize capacity and consistency in weeks.
This is what scale with purpose looks like when two solutions are integrated in a way where improved care management outcomes is the focus.
Why AI for “Efficiency” Is No Longer the Goal
Healthcare has spent years investing in technology that promises incremental gains: shorter calls, faster documentation, fewer manual steps. Those improvements matter. However, the technologies do not address the growing mismatch between patient needs and care management capacity.
Chronic and mental health conditions now drive nearly 90% of U.S. healthcare spending, and more than half of Medicare beneficiaries are enrolled in Medicare Advantage, where timely assessments and follow-up directly affect quality and reimbursement. These pressures are structural, continue to expand, and are not temporary.
Human-only care management models were never designed to operate at this level of volume and complexity. When repeatable assessments and time-sensitive outreach exceed capacity, tradeoffs like missed assessments, delayed interventions, and fragmented coordination become unavoidable.
The care management model is no longer sustainable and thriving. The model must evolve quickly to meet the needs of patients.
Sage Is a Capacity Multiplier for Care Teams
Sage was not built to automate tasks in isolation. It was built to extend the capacity and reach of care management teams, while maintaining the empathy and continuity effective care requires.
As an agentic AI care manager, Sage conducts real conversations with patients, guided by clinical frameworks and millions of clinical interactions. It remembers context, follows up intelligently, and navigates multi-step workflows without losing precision.
Care management depends on trust and continuity over time. Scripted bots and basic IVR tools struggle in this environment because they lack context and emotional intelligence. Sage was designed specifically to operate within this complex environment and build trust with empathy.
Why AppExchange Availability Changes the Timeline
Many AI solutions promise transformation but require months of configuration before any value is realized.
With one-click installation and minimal configuration, Sage can begin delivering assessments almost immediately. Any Discovery Framework based assessment already built within Agentforce Health, can be delivered by Sage.
Instead of long implementation cycles, health plans can begin expanding care management capacity within days and realize value in weeks.
Moving to Proactive Care
When Sage operates continuously and at scale, care management shifts from reactive to proactive and is well coordinated with all care team touchpoints.
Assessments are completed consistently rather than deferred. Follow-up happens without repeated manual attempts. Documentation flows directly into the system of record. Care teams gain earlier visibility into patient needs and more reliable engagement across populations.
This is proactive care supported by infrastructure, not heroics.
Redefining the Care Management Model
The future of care management will not be defined by AI that merely accelerates yesterday’s workflows. It will be defined by AI that allows organizations to rethink how care is delivered, coordinated, and scaled.
By making Sage available through Salesforce AppExchange with a tightly integrated, low-configuration experience, Ellipsis Health and Salesforce are helping transform care management today and tomorrow.Sage is not AI for efficiency’s sake.
It is empathetic AI designed to help care management scale with purpose.
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Ellipsis Health and Salesforce Partner to Transform Healthcare with Agentic AI
Salesforce and Ellipsis Health have joined forces to bring Sage, the emotionally intelligent, agentic AI Care Manager, directly into Salesforce Health Cloud.
Getting started is easy.
Ready to see how easily and quickly you can reduce your patient backlog?